Development of Personal Profile Analysis System for Privacy Protection in SNS Usage
| Project/Area Number |
15K16092
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Web informatics, Service informatics
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| Research Institution | Tokyo National College of Technology |
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Principal Investigator |
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| Research Collaborator |
MATSUBAYASHI Katsushi 独立行政法人国立高等専門学校機構 東京工業高等専門学校, 情報工学科, 教授
NAKAMURA Takuya 株式会社調和技研, 代表取締役
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
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| Keywords | プライバシー保護 / SNS / 機械学習 / 自然言語処理 / 位置情報 / 個人プロファイル分析 / SNS分析 / 炎上 / Twitter / 予測 / 感情語 / 個人プロファイル |
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| Outline of Final Research Achievements |
The purpose of this research is to develop a watching system to prevent the leakage of privacy information from posted contents when using SNS. The goal is to implement a system that automatically analyzes user profiles based on information on SNS and supports healthy SNS usage. Specifically, in this study, we developed: algorithms for estimating by machine learning whether the contents posted are attracting attention or not; algorithm for estimating emotional classification of posted contents; algorithm for estimating user's occupation from posted contents. In addition, for practical use, we have used cloud environments for larger scale and experimentally implemented on real systems.
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Report
(4 results)
Research Products
(8 results)
